Comparing Original Dataset and Oversampled Dataset

Dataset statistics

	Original Dataset	Oversampled Dataset
Number of variables	9	9
Number of observations	188	862
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	172
Duplicate rows (%)	0.0%	20.0%
Total size in memory	13.3 KiB	67.3 KiB
Average record size in memory	72.7 B	80.0 B

Variable types

	Original Dataset	Oversampled Dataset
Categorical	4	4
Numeric	5	5

Alerts

Original Dataset	Oversampled Dataset
`time` is highly overall correlated with `distance`	Alert not present in	High Correlation
`line_width` is highly overall correlated with `roughness`	Alert not present in	High Correlation
`roughness` is highly overall correlated with `line_width`	Alert not present in	High Correlation
`distance` is highly overall correlated with `time`	Alert not present in	High Correlation
`ink_visco_cp` is highly overall correlated with `surface_tension_dyne_cm` and 1 other fields	Alert not present in	High Correlation
`surface_tension_dyne_cm` is highly overall correlated with `ink_visco_cp` and 1 other fields	Alert not present in	High Correlation
`ink _density` is highly overall correlated with `ink_visco_cp` and 1 other fields	Alert not present in	High Correlation
`overspray` has 8 (4.3%) zeros	`overspray` has 18 (2.1%) zeros	Zeros
Alert not present in	Dataset has 172 (20.0%) duplicate rows	Duplicates
Alert not present in	`distance` has a high cardinality: 93 distinct values	High Cardinality
Alert not present in	`ink_visco_cp` has a high cardinality: 213 distinct values	High Cardinality
Alert not present in	`surface_tension_dyne_cm` has a high cardinality: 213 distinct values	High Cardinality
Alert not present in	`ink _density` has a high cardinality: 51 distinct values	High Cardinality
Alert not present in	`distance` is highly imbalanced (55.8%)	Imbalance
Alert not present in	`ink_visco_cp` is highly imbalanced (57.3%)	Imbalance
Alert not present in	`surface_tension_dyne_cm` is highly imbalanced (57.3%)	Imbalance
Alert not present in	`ink _density` is highly imbalanced (58.9%)	Imbalance

Reproduction

	Original Dataset	Oversampled Dataset
Analysis started	2023-04-24 01:57:27.668052	2023-04-24 01:57:31.897946
Analysis finished	2023-04-24 01:57:31.882988	2023-04-24 01:57:34.604883
Duration	4.21 seconds	2.71 seconds
Software version	ydata-profiling vv4.1.2	ydata-profiling vv4.1.2
Download configuration	config.json	config.json

distance
Categorical

	Original Dataset	Oversampled Dataset
Distinct	3	93
Distinct (%)	1.6%	10.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

900	139
300	47
270	2

900	484
300	174
911	8
887	8
270	6
Other values (88)	182

Length

	Original Dataset	Oversampled Dataset
Max length	3	3
Median length	3	3
Mean length	3	3
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	2586
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	45 ?
Unique (%)	0.0%	5.2%

Sample

	Original Dataset	Oversampled Dataset
1st row	270	899
2nd row	270	903
3rd row	300	904
4th row	300	900
5th row	300	888

Common Values

Value	Count	Frequency (%)
900	139	73.9%
300	47	25.0%
270	2	1.1%

Value	Count	Frequency (%)
900	484	56.1%
300	174	20.2%
911	8	0.9%
887	8	0.9%
270	6	0.7%
902	6	0.7%
904	5	0.6%
923	5	0.6%
890	5	0.6%
912	5	0.6%
Other values (83)	156	18.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
900	139	73.9%
300	47	25.0%
270	2	1.1%

Value	Count	Frequency (%)
900	484	56.1%
300	174	20.2%
911	8	0.9%
887	8	0.9%
270	6	0.7%
902	6	0.7%
904	5	0.6%
923	5	0.6%
890	5	0.6%
912	5	0.6%
Other values (83)	156	18.1%

Most occurring characters

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1380	53.4%
9	632	24.4%
3	220	8.5%
8	123	4.8%
2	71	2.7%
1	57	2.2%
7	44	1.7%
4	24	0.9%
6	18	0.7%
5	17	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	100.0%

Value	Count	Frequency (%)
Decimal Number	2586	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1380	53.4%
9	632	24.4%
3	220	8.5%
8	123	4.8%
2	71	2.7%
1	57	2.2%
7	44	1.7%
4	24	0.9%
6	18	0.7%
5	17	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	2586	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1380	53.4%
9	632	24.4%
3	220	8.5%
8	123	4.8%
2	71	2.7%
1	57	2.2%
7	44	1.7%
4	24	0.9%
6	18	0.7%
5	17	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1380	53.4%
9	632	24.4%
3	220	8.5%
8	123	4.8%
2	71	2.7%
1	57	2.2%
7	44	1.7%
4	24	0.9%
6	18	0.7%
5	17	0.7%

time
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	63	434
Distinct (%)	33.5%	50.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	71.138298	70.511514

	Original Dataset	Oversampled Dataset
Minimum	31	28.356335
Maximum	130	130
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	31	28.356335
5-th percentile	34	33.627823
Q1	45	45
median	69	69.433682
Q3	89.25	88.686351
95-th percentile	111.25	108
Maximum	130	130
Range	99	101.64366
Interquartile range (IQR)	44.25	43.686351

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	24.68826	24.329103
Coefficient of variation (CV)	0.34704598	0.34503731
Kurtosis	-0.82393317	-0.8470009
Mean	71.138298	70.511514
Median Absolute Deviation (MAD)	21.5	19.554057
Skewness	0.16926931	0.10926534
Sum	13374	60780.925
Variance	609.51018	591.90525
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78	9	4.8%
44	9	4.8%
66	8	4.3%
96	8	4.3%
38	8	4.3%
63	7	3.7%
107	6	3.2%
61	6	3.2%
83	5	2.7%
60	5	2.7%
Other values (53)	117	62.2%

Value	Count	Frequency (%)
78	24	2.8%
44	21	2.4%
38	21	2.4%
61	20	2.3%
63	19	2.2%
34	17	2.0%
107	17	2.0%
96	16	1.9%
66	14	1.6%
87	14	1.6%
Other values (424)	679	78.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
31	2	1.1%
32	4	2.1%
34	5	2.7%
35	1	0.5%
36	2	1.1%
37	2	1.1%
38	8	4.3%
39	1	0.5%
40	4	2.1%
41	2	1.1%

Value	Count	Frequency (%)
28.35633542	1	0.1%
30.10913703	1	0.1%
31	5	0.6%
31.14085654	1	0.1%
31.1857756	1	0.1%
31.421662	1	0.1%
31.7004337	1	0.1%
31.76776959	1	0.1%
32	11	1.3%
32.00413804	1	0.1%

Value	Count	Frequency (%)
28.35633542	1	0.5%
30.10913703	1	0.5%
31	5	2.7%
31.14085654	1	0.5%
31.1857756	1	0.5%
31.421662	1	0.5%
31.7004337	1	0.5%
31.76776959	1	0.5%
32	11	5.9%
32.00413804	1	0.5%

Value	Count	Frequency (%)
31	2	0.2%
32	4	0.5%
34	5	0.6%
35	1	0.1%
36	2	0.2%
37	2	0.2%
38	8	0.9%
39	1	0.1%
40	4	0.5%
41	2	0.2%

velocity
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	73	447
Distinct (%)	38.8%	51.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.462428	10.608104

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.667
Maximum	15.517241	15.517241
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.667
5-th percentile	6.818	6.923
Q1	8.27675	8.411
median	9.945	10.112
Q3	12.9035	13.01586
95-th percentile	14.9139	14.896701
Maximum	15.517241	15.517241
Range	8.8502414	8.8502414
Interquartile range (IQR)	4.62675	4.6048605

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	2.6390637	2.5766508
Coefficient of variation (CV)	0.25224199	0.24289457
Kurtosis	-1.181831	-1.2068823
Mean	10.462428	10.608104
Median Absolute Deviation (MAD)	2.05	2.0923557
Skewness	0.32023116	0.26939049
Sum	1966.9365	9144.1854
Variance	6.9646573	6.6391293
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.375	12	6.4%
6.818	9	4.8%
11.538	9	4.8%
13.636	6	3.2%
7.895	6	3.2%
14.754	6	3.2%
10.843	5	2.7%
15	5	2.7%
8.411214953	5	2.7%
10.345	5	2.7%
Other values (63)	120	63.8%

Value	Count	Frequency (%)
9.375	27	3.1%
11.538	24	2.8%
6.818	21	2.4%
14.754	20	2.3%
7.895	16	1.9%
10.345	14	1.6%
8.411214953	14	1.6%
10.843	12	1.4%
14.28571429	12	1.4%
8.333333333	12	1.4%
Other values (437)	690	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.667	4	2.1%
6.818	9	4.8%
6.923	2	1.1%
6.976744186	1	0.5%
6.977	2	1.1%
7.142857143	1	0.5%
7.143	2	1.1%
7.317	1	0.5%
7.317073171	1	0.5%
7.5	4	2.1%

Value	Count	Frequency (%)
6.667	11	1.3%
6.683130991	1	0.1%
6.73400987	1	0.1%
6.752611279	1	0.1%
6.774707324	1	0.1%
6.818	21	2.4%
6.842750206	1	0.1%
6.85928052	1	0.1%
6.869708787	1	0.1%
6.923	6	0.7%

Value	Count	Frequency (%)
6.667	11	5.9%
6.683130991	1	0.5%
6.73400987	1	0.5%
6.752611279	1	0.5%
6.774707324	1	0.5%
6.818	21	11.2%
6.842750206	1	0.5%
6.85928052	1	0.5%
6.869708787	1	0.5%
6.923	6	3.2%

Value	Count	Frequency (%)
6.667	4	0.5%
6.818	9	1.0%
6.923	2	0.2%
6.976744186	1	0.1%
6.977	2	0.2%
7.142857143	1	0.1%
7.143	2	0.2%
7.317	1	0.1%
7.317073171	1	0.1%
7.5	4	0.5%

ink_visco_cp
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	213
Distinct (%)	1.1%	24.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

6.9	140
6.3	48

6.9	491
6.3	160
6.909597767929222	1
6.292210172530286	1
6.919260921007547	1
Other values (208)	208

Length

	Original Dataset	Oversampled Dataset
Max length	3	18
Median length	3	3
Mean length	3	6.4095128
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	5525
Distinct characters	4	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	211 ?
Unique (%)	0.0%	24.5%

Sample

	Original Dataset	Oversampled Dataset
1st row	6.3	6.909597767929222
2nd row	6.3	6.87655460358194
3rd row	6.3	6.890437650474096
4th row	6.3	6.9
5th row	6.3	6.903606919171564

Common Values

Value	Count	Frequency (%)
6.9	140	74.5%
6.3	48	25.5%

Value	Count	Frequency (%)
6.9	491	57.0%
6.3	160	18.6%
6.909597767929222	1	0.1%
6.292210172530286	1	0.1%
6.919260921007547	1	0.1%
6.903671923663459	1	0.1%
6.868028799230724	1	0.1%
6.928740183047567	1	0.1%
6.885948147225283	1	0.1%
6.88772432365691	1	0.1%
Other values (203)	203	23.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
6.9	140	74.5%
6.3	48	25.5%

Value	Count	Frequency (%)
6.9	491	57.0%
6.3	160	18.6%
6.883473278255356	1	0.1%
6.90325049496801	1	0.1%
6.895028195237112	1	0.1%
6.880003517882575	1	0.1%
6.881905441518298	1	0.1%
6.890437650474096	1	0.1%
6.903606919171564	1	0.1%
6.882529066702848	1	0.1%
Other values (203)	203	23.5%

Most occurring characters

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1165	21.1%
.	862	15.6%
9	852	15.4%
3	457	8.3%
8	360	6.5%
7	333	6.0%
2	333	6.0%
1	309	5.6%
5	302	5.5%
0	289	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	376	66.7%
Other Punctuation	188	33.3%

Value	Count	Frequency (%)
Decimal Number	4663	84.4%
Other Punctuation	862	15.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	188	50.0%
9	140	37.2%
3	48	12.8%

Value	Count	Frequency (%)
6	1165	25.0%
9	852	18.3%
3	457	9.8%
8	360	7.7%
7	333	7.1%
2	333	7.1%
1	309	6.6%
5	302	6.5%
0	289	6.2%
4	263	5.6%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	5525	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1165	21.1%
.	862	15.6%
9	852	15.4%
3	457	8.3%
8	360	6.5%
7	333	6.0%
2	333	6.0%
1	309	5.6%
5	302	5.5%
0	289	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	5525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1165	21.1%
.	862	15.6%
9	852	15.4%
3	457	8.3%
8	360	6.5%
7	333	6.0%
2	333	6.0%
1	309	5.6%
5	302	5.5%
0	289	5.2%

surface_tension_dyne_cm
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	213
Distinct (%)	1.1%	24.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

32.3	140
30.9	48

32.3	491
30.9	160
32.35628987700318	1
30.938845924874386	1
32.26575526389176	1
Other values (208)	208

Length

	Original Dataset	Oversampled Dataset
Max length	4	18
Median length	4	4
Mean length	4	7.2703016
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	752	6267
Distinct characters	5	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	211 ?
Unique (%)	0.0%	24.5%

Sample

	Original Dataset	Oversampled Dataset
1st row	30.9	32.35628987700318
2nd row	30.9	32.281981516487974
3rd row	30.9	32.278331835047496
4th row	30.9	32.3
5th row	30.9	32.284442353737056

Common Values

Value	Count	Frequency (%)
32.3	140	74.5%
30.9	48	25.5%

Value	Count	Frequency (%)
32.3	491	57.0%
30.9	160	18.6%
32.35628987700318	1	0.1%
30.938845924874386	1	0.1%
32.26575526389176	1	0.1%
32.36777590272072	1	0.1%
32.27836696945391	1	0.1%
32.308064267306214	1	0.1%
32.304756248394845	1	0.1%
32.28503124123783	1	0.1%
Other values (203)	203	23.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
32.3	140	74.5%
30.9	48	25.5%

Value	Count	Frequency (%)
32.3	491	57.0%
30.9	160	18.6%
32.36274053364617	1	0.1%
32.26934184247805	1	0.1%
32.33727500945055	1	0.1%
32.33752823600665	1	0.1%
32.361704761946086	1	0.1%
32.278331835047496	1	0.1%
32.284442353737056	1	0.1%
32.24348408032512	1	0.1%
Other values (203)	203	23.5%

Most occurring characters

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1686	26.9%
2	953	15.2%
.	862	13.8%
0	476	7.6%
9	465	7.4%
6	330	5.3%
8	310	4.9%
1	307	4.9%
5	299	4.8%
7	292	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	75.0%
Other Punctuation	188	25.0%

Value	Count	Frequency (%)
Decimal Number	5405	86.2%
Other Punctuation	862	13.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	328	58.2%
2	140	24.8%
0	48	8.5%
9	48	8.5%

Value	Count	Frequency (%)
3	1686	31.2%
2	953	17.6%
0	476	8.8%
9	465	8.6%
6	330	6.1%
8	310	5.7%
1	307	5.7%
5	299	5.5%
7	292	5.4%
4	287	5.3%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	752	100.0%

Value	Count	Frequency (%)
Common	6267	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1686	26.9%
2	953	15.2%
.	862	13.8%
0	476	7.6%
9	465	7.4%
6	330	5.3%
8	310	4.9%
1	307	4.9%
5	299	4.8%
7	292	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Value	Count	Frequency (%)
ASCII	6267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1686	26.9%
2	953	15.2%
.	862	13.8%
0	476	7.6%
9	465	7.4%
6	330	5.3%
8	310	4.9%
1	307	4.9%
5	299	4.8%
7	292	4.7%

ink _density
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	51
Distinct (%)	1.1%	5.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

1614	140
1517	48

1614	519
1517	173
1613	21
1615	15
1612	13
Other values (46)	121

Length

	Original Dataset	Oversampled Dataset
Max length	4	4
Median length	4	4
Mean length	4	4
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	752	3448
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	25 ?
Unique (%)	0.0%	2.9%

Sample

	Original Dataset	Oversampled Dataset
1st row	1517	1614
2nd row	1517	1612
3rd row	1517	1610
4th row	1517	1614
5th row	1517	1612

Common Values

Value	Count	Frequency (%)
1614	140	74.5%
1517	48	25.5%

Value	Count	Frequency (%)
1614	519	60.2%
1517	173	20.1%
1613	21	2.4%
1615	15	1.7%
1612	13	1.5%
1616	13	1.5%
1611	9	1.0%
1609	7	0.8%
1515	6	0.7%
1610	6	0.7%
Other values (41)	80	9.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
1614	140	74.5%
1517	48	25.5%

Value	Count	Frequency (%)
1614	519	60.2%
1517	173	20.1%
1613	21	2.4%
1615	15	1.7%
1612	13	1.5%
1616	13	1.5%
1611	9	1.0%
1609	7	0.8%
1518	6	0.7%
1617	6	0.7%
Other values (41)	80	9.3%

Most occurring characters

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1690	49.0%
6	651	18.9%
4	525	15.2%
5	266	7.7%
7	181	5.2%
2	34	1.0%
3	32	0.9%
0	29	0.8%
9	20	0.6%
8	20	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	752	100.0%

Value	Count	Frequency (%)
Decimal Number	3448	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1690	49.0%
6	651	18.9%
4	525	15.2%
5	266	7.7%
7	181	5.2%
2	34	1.0%
3	32	0.9%
0	29	0.8%
9	20	0.6%
8	20	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	752	100.0%

Value	Count	Frequency (%)
Common	3448	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1690	49.0%
6	651	18.9%
4	525	15.2%
5	266	7.7%
7	181	5.2%
2	34	1.0%
3	32	0.9%
0	29	0.8%
9	20	0.6%
8	20	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Value	Count	Frequency (%)
ASCII	3448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1690	49.0%
6	651	18.9%
4	525	15.2%
5	266	7.7%
7	181	5.2%
2	34	1.0%
3	32	0.9%
0	29	0.8%
9	20	0.6%
8	20	0.6%

line_width
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	100	162
Distinct (%)	53.2%	18.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	229.3617	252.35847

	Original Dataset	Oversampled Dataset
Minimum	112	112
Maximum	391	457
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	112	112
5-th percentile	179	183
Q1	194	208
median	222.5	253
Q3	260	294
95-th percentile	305.65	322.95
Maximum	391	457
Range	279	345
Interquartile range (IQR)	66	86

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	43.833631	51.6546
Coefficient of variation (CV)	0.19111138	0.20468741
Kurtosis	0.33187771	0.25096912
Mean	229.3617	252.35847
Median Absolute Deviation (MAD)	31.5	43
Skewness	0.57550192	0.38003583
Sum	43120	217533
Variance	1921.3872	2668.1977
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
191	5	2.7%
194	4	2.1%
183	4	2.1%
193	4	2.1%
224	4	2.1%
203	4	2.1%
232	4	2.1%
204	4	2.1%
207	4	2.1%
185	4	2.1%
Other values (90)	147	78.2%

Value	Count	Frequency (%)
303	17	2.0%
321	14	1.6%
305	14	1.6%
306	13	1.5%
218	13	1.5%
194	12	1.4%
225	12	1.4%
191	12	1.4%
224	12	1.4%
203	12	1.4%
Other values (152)	731	84.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
112	1	0.5%
123	1	0.5%
142	1	0.5%
163	1	0.5%
167	1	0.5%
176	1	0.5%
177	1	0.5%
178	1	0.5%
179	3	1.6%
180	2	1.1%

Value	Count	Frequency (%)
112	3	0.3%
123	3	0.3%
142	1	0.1%
163	3	0.3%
167	2	0.2%
176	3	0.3%
177	2	0.2%
178	3	0.3%
179	8	0.9%
180	5	0.6%

Value	Count	Frequency (%)
112	3	1.6%
123	3	1.6%
142	1	0.5%
163	3	1.6%
167	2	1.1%
176	3	1.6%
177	2	1.1%
178	3	1.6%
179	8	4.3%
180	5	2.7%

Value	Count	Frequency (%)
112	1	0.1%
123	1	0.1%
142	1	0.1%
163	1	0.1%
167	1	0.1%
176	1	0.1%
177	1	0.1%
178	1	0.1%
179	3	0.3%
180	2	0.2%

overspray
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	119	265
Distinct (%)	63.3%	30.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	104.83511	139.60441

	Original Dataset	Oversampled Dataset
Minimum	0	0
Maximum	415	423
Zeros	8	18
Zeros (%)	4.3%	2.1%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	0	0
5-th percentile	1	3
Q1	16	33
median	59	99
Q3	169	241
95-th percentile	341.6	372
Maximum	415	423
Range	415	423
Interquartile range (IQR)	153	208

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	110.08344	122.40498
Coefficient of variation (CV)	1.0500627	0.87679878
Kurtosis	0.28180928	-0.86703726
Mean	104.83511	139.60441
Median Absolute Deviation (MAD)	49	87
Skewness	1.1385965	0.63833792
Sum	19709	120339
Variance	12118.363	14982.978
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8	4.3%
10	5	2.7%
91	5	2.7%
3	5	2.7%
7	4	2.1%
47	4	2.1%
32	4	2.1%
220	4	2.1%
24	3	1.6%
5	3	1.6%
Other values (109)	143	76.1%

Value	Count	Frequency (%)
0	18	2.1%
91	15	1.7%
7	14	1.6%
10	12	1.4%
201	11	1.3%
11	10	1.2%
3	10	1.2%
34	10	1.2%
32	10	1.2%
220	10	1.2%
Other values (255)	742	86.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	4.3%
1	3	1.6%
2	3	1.6%
3	5	2.7%
4	1	0.5%
5	3	1.6%
6	1	0.5%
7	4	2.1%
8	2	1.1%
9	1	0.5%

Value	Count	Frequency (%)
0	18	2.1%
1	9	1.0%
2	9	1.0%
3	10	1.2%
4	4	0.5%
5	9	1.0%
6	4	0.5%
7	14	1.6%
8	6	0.7%
9	4	0.5%

Value	Count	Frequency (%)
0	18	9.6%
1	9	4.8%
2	9	4.8%
3	10	5.3%
4	4	2.1%
5	9	4.8%
6	4	2.1%
7	14	7.4%
8	6	3.2%
9	4	2.1%

Value	Count	Frequency (%)
0	8	0.9%
1	3	0.3%
2	3	0.3%
3	5	0.6%
4	1	0.1%
5	3	0.3%
6	1	0.1%
7	4	0.5%
8	2	0.2%
9	1	0.1%

roughness
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	94	131
Distinct (%)	50.0%	15.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	98.037234	112.28422

	Original Dataset	Oversampled Dataset
Minimum	43	43
Maximum	192	228
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	43	43
5-th percentile	58.35	63.05
Q1	75	82
median	91	112
Q3	117.25	142
95-th percentile	152.65	164
Maximum	192	228
Range	149	185
Interquartile range (IQR)	42.25	60

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	30.766043	34.582315
Coefficient of variation (CV)	0.31381998	0.30798909
Kurtosis	0.11304357	-0.8400436
Mean	98.037234	112.28422
Median Absolute Deviation (MAD)	19	30
Skewness	0.73342434	0.12559766
Sum	18431	96789
Variance	946.54941	1195.9365
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	8	4.3%
68	8	4.3%
73	6	3.2%
99	6	3.2%
84	6	3.2%
75	5	2.7%
85	5	2.7%
108	5	2.7%
72	5	2.7%
117	4	2.1%
Other values (84)	130	69.1%

Value	Count	Frequency (%)
77	25	2.9%
68	21	2.4%
145	18	2.1%
118	17	2.0%
99	17	2.0%
108	16	1.9%
84	16	1.9%
71	15	1.7%
73	15	1.7%
85	15	1.7%
Other values (121)	687	79.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
43	1	0.5%
44	1	0.5%
45	1	0.5%
48	2	1.1%
49	2	1.1%
54	1	0.5%
57	1	0.5%
58	1	0.5%
59	1	0.5%
60	1	0.5%

Value	Count	Frequency (%)
43	3	0.3%
44	3	0.3%
45	4	0.5%
46	2	0.2%
48	3	0.3%
49	5	0.6%
50	1	0.1%
51	2	0.2%
54	4	0.5%
56	1	0.1%

Value	Count	Frequency (%)
43	3	1.6%
44	3	1.6%
45	4	2.1%
46	2	1.1%
48	3	1.6%
49	5	2.7%
50	1	0.5%
51	2	1.1%
54	4	2.1%
56	1	0.5%

Value	Count	Frequency (%)
43	1	0.1%
44	1	0.1%
45	1	0.1%
48	2	0.2%
49	2	0.2%
54	1	0.1%
57	1	0.1%
58	1	0.1%
59	1	0.1%
60	1	0.1%

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Oversampled Dataset

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Auto

Heatmap
Table

	time	velocity	line_width	overspray	roughness	distance	ink_visco_cp	surface_tension_dyne_cm	ink _density
time	1.000	0.023	-0.042	-0.067	-0.122	0.687	0.275	0.275	0.275
velocity	0.023	1.000	0.300	0.062	0.136	0.482	0.278	0.278	0.278
line_width	-0.042	0.300	1.000	0.290	0.619	0.000	0.000	0.000	0.000
overspray	-0.067	0.062	0.290	1.000	0.229	0.000	0.198	0.198	0.198
roughness	-0.122	0.136	0.619	0.229	1.000	0.202	0.271	0.271	0.271
distance	0.687	0.482	0.000	0.000	0.202	1.000	0.151	0.151	0.151
ink_visco_cp	0.275	0.278	0.000	0.198	0.271	0.151	1.000	0.986	0.986
surface_tension_dyne_cm	0.275	0.278	0.000	0.198	0.271	0.151	0.986	1.000	0.986
ink _density	0.275	0.278	0.000	0.198	0.271	0.151	0.986	0.986	1.000

Count
Matrix

Original Dataset

A simple visualization of nullity by column.

Oversampled Dataset

A simple visualization of nullity by column.

Original Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Oversampled Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
0	270	34.0	7.941	6.3	30.9	1517	294	12	164
1	270	34.0	7.941	6.3	30.9	1517	261	136	141
2	300	38.0	7.895	6.3	30.9	1517	218	11	103
3	300	44.0	6.818	6.3	30.9	1517	190	15	68
4	300	41.0	7.317	6.3	30.9	1517	190	91	90
5	300	40.0	7.500	6.9	32.3	1614	180	0	62
6	300	38.0	7.895	6.9	32.3	1614	178	80	82
7	300	43.0	6.977	6.3	30.9	1517	185	24	145
8	300	43.0	6.977	6.3	30.9	1517	213	50	161
9	300	34.0	8.824	6.3	30.9	1517	323	8	171

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
0	899	62.214499	14.042099	6.909598	32.356290	1614	285	103	118
1	903	61.873446	14.571294	6.876555	32.281982	1612	284	105	119
2	904	64.223973	14.172891	6.890438	32.278332	1610	286	111	116
3	900	70.411670	13.147105	6.900000	32.300000	1614	287	94	118
4	888	61.526920	14.358877	6.903607	32.284442	1612	285	114	117
5	900	86.481936	10.717031	6.900000	32.300000	1614	287	106	93
6	923	93.496942	9.655995	6.882529	32.243484	1613	291	105	88
7	914	94.996984	9.750736	6.886091	32.261477	1619	288	107	84
8	904	93.024731	9.518223	6.908064	32.288811	1608	287	109	87
9	900	92.731914	9.767186	6.900000	32.300000	1614	287	106	86

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
178	900	108.0	8.333333	6.9	32.3	1614	212	282	72
179	900	93.0	9.677419	6.9	32.3	1614	323	47	157
180	900	93.0	9.677419	6.9	32.3	1614	305	201	108
181	900	94.0	9.574468	6.9	32.3	1614	288	107	85
182	900	95.0	9.473684	6.9	32.3	1614	290	24	115
183	900	96.0	9.375000	6.9	32.3	1614	262	17	94
184	900	96.0	9.375000	6.9	32.3	1614	241	15	86
185	900	96.0	9.375000	6.9	32.3	1614	191	77	87
186	900	108.0	8.333333	6.9	32.3	1614	188	1	73
187	900	107.0	8.411215	6.9	32.3	1614	203	5	45

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
175	900	107.0	8.411215	6.9	32.3	1614	194	72	76
176	900	107.0	8.411215	6.9	32.3	1614	204	5	73
177	900	108.0	8.333333	6.9	32.3	1614	191	81	99
178	900	108.0	8.333333	6.9	32.3	1614	212	282	72
179	900	93.0	9.677419	6.9	32.3	1614	323	47	157
180	900	93.0	9.677419	6.9	32.3	1614	305	201	108
181	900	94.0	9.574468	6.9	32.3	1614	288	107	85
185	900	96.0	9.375000	6.9	32.3	1614	191	77	87
186	900	108.0	8.333333	6.9	32.3	1614	188	1	73
187	900	107.0	8.411215	6.9	32.3	1614	203	5	45

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness	# duplicates
Dataset does not contain duplicate rows.

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness	# duplicates
0	270	34.0	7.941	6.3	30.9	1517	261	136	141	3
1	270	34.0	7.941	6.3	30.9	1517	294	12	164	3
2	300	31.0	9.677	6.3	30.9	1517	218	187	117	3
4	300	32.0	9.375	6.3	30.9	1517	306	102	145	3
5	300	32.0	9.375	6.9	32.3	1614	183	107	84	3
7	300	32.0	9.375	6.9	32.3	1614	254	268	131	3
8	300	34.0	8.824	6.3	30.9	1517	226	27	95	3
9	300	34.0	8.824	6.3	30.9	1517	323	8	171	3
10	300	34.0	8.824	6.9	32.3	1614	219	213	185	3
11	300	36.0	8.333	6.9	32.3	1614	193	41	71	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset